Posts

Showing posts with the label List duplicates

Featured Post

Step-by-Step Guide to Reading Different Files in Python

-
Image
 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...
Post a Comment
Read more

Python Delete Duplicates in List Faster Way

-
Image
Removing duplicates in List simplified using SET method. It's a simple method. Just you need SET and Print to remove duplicates. Removing duplicates is common in Data science projects. What is list A list is a collection of elements. The elements can be duplicates or non-duplicates. Today's task is to remove duplicate elements in the List. Faster way to remove list duplicates Create a List Use SET Print the result List with duplicates my_list = ['The', 'unanimous', 'Declaration', 'of', 'the', 'thirteen','united', 'States', 'of', 'America,', 'When', 'in', 'the', 'Course', 'of', 'human'] Apply set method >>> non_dupes = set(my_list) Print Final list >>> print(non_dupes) Here, if you observe, there are no duplicates. The duplicates are now removed. It displays only non-duplicate values.  Here 'the' is a duplicate value. That'...
1 comment
Read more